Orchestrate Batch Refactor

by dimillian05ba982bfeb0No license3.9K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 6 months ago

Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation. Use when a user asks to refactor many files, split workstreams, analyze a target code area, and coordinate sub-agents with clear ownership and dependency-aware execution.

AI-generated overview

Plans and coordinates large multi-file refactors using parallel sub-agent analysis and dependency-aware work packets.

What it does
This skill provides a workflow for running large refactor, rewrite, or hybrid efforts across many files. It splits the target scope into analysis lanes, spawns explorer sub-agents in parallel, merges their findings into one dependency-aware work graph, and then executes independent work packets with worker agents that have explicit file ownership. It produces a plan, work packets with validation commands, and a closing report covering outcomes, conflicts, and residual risks.
When to use it
Use it when a refactor or rewrite touches many files or subsystems and needs coordinated parallel work. It is intended for medium to large scope efforts where workstreams can be split and sequenced by dependency. Small edits or tightly coupled single-file work should skip the multi-agent approach.
Requirements
No scripts are shipped; it is instructions only. It relies on the agent's ability to spawn explorer and worker sub-agents and on access to the target repository. It references two bundled reference documents for work packet and prompt templates.

Orchestrate Batch Refactor

Overview

Use this skill to run high-throughput refactors safely. Analyze scope in parallel, synthesize a single plan, then execute independent work packets with sub-agents.

Inputs

  • Repo path and target scope (paths, modules, or feature area)
  • Goal type: refactor, rewrite, or hybrid
  • Constraints: behavior parity, API stability, deadlines, test requirements

When to Use Parallelization

  • Use this skill for medium/large scope touching many files or subsystems.
  • Skip multi-agent execution for tiny edits or highly coupled single-file work.

Core Workflow

  1. Define scope and success criteria.
    • List target paths/modules and non-goals.
    • State behavior constraints (for example: preserve external behavior).
  2. Run parallel analysis first.
    • Split target scope into analysis lanes.
    • Spawn explorer sub-agents in parallel to analyze each lane.
    • Ask each agent for: intent map, coupling risks, candidate work packets, required validations.
  3. Build one dependency-aware plan.
    • Merge explorer output into a single work graph.
    • Create work packets with clear file ownership and validation commands.
    • Sequence packets by dependency level; run only independent packets in parallel.
  4. Execute with worker agents.
    • Spawn one worker per independent packet.
    • Assign explicit ownership (files/responsibility).
    • Instruct every worker that they are not alone in the codebase and must ignore unrelated edits.
  5. Integrate and verify.
    • Review packet outputs, resolve overlaps, and run validation gates.
    • Run targeted tests per packet, then broader suite for integrated scope.
  6. Report and close.
    • Summarize packet outcomes, key refactors, conflicts resolved, and residual risks.

Work Packet Rules

  • One owner per file per execution wave.
  • No parallel edits on overlapping file sets.
  • Keep packet goals narrow and measurable.
  • Include explicit done criteria and required checks.
  • Prefer behavior-preserving refactors unless user explicitly requests behavior change.

Planning Contract

Every packet must include:

  1. Packet ID and objective.
  2. Owned files.
  3. Dependencies (none or packet IDs).
  4. Risks and invariants to preserve.
  5. Required checks.
  6. Integration notes for main thread.

Use references/work-packet-template.md [blocked] for the exact shape.

Agent Prompting Contract

  • Use the prompt templates in references/agent-prompt-templates.md [blocked].
  • Explorer prompts focus on analysis and decomposition.
  • Worker prompts focus on implementation and validation with strict ownership boundaries.

Safety Guardrails

  • Do not start worker execution before plan synthesis is complete.
  • Do not parallelize across unresolved dependencies.
  • Do not claim completion if any required packet check fails.
  • Stop and re-plan when packet boundaries cause repeated merge conflicts.

Validation Strategy

Run in this order:

  1. Packet-level checks (fast and scoped).
  2. Cross-packet integration checks.
  3. Full project safety checks when scope is broad.

Prefer fast feedback loops, but never skip required behavior checks.

Source and attribution

Source:dimillian/skillsinorchestrate-batch-refactorat commit05ba982

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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